Smart Operation of Wind Turbines and Diesel Generators According to Economic Criteria

This paper proposes an innovative system for Smart Grid (SG) management aiming at minimizing the total costs supported for carrying out the delivery of energy to consumers. These costs include the production costs of distributed generators, the cost of the power provided by the primary substation, and the cost associated with grid power losses. After a brief overview on the main SG aspects, this paper describes the proposed approach that makes use of an optimal power flow algorithm and the active management schemes. The efficiency of the method is verified on a distribution system comprising wind turbines and diesel generators, considering the time-varying characteristics of the load demand and wind power generation.

[1]  Benjamin K. Sovacool,et al.  Rejecting Renewables: The Socio-Technical Impediments to Renewable Electricity in the United States , 2008, Renewable Energy.

[2]  C. S. Chen,et al.  Application of load survey systems to proper tariff design , 1997 .

[3]  Benjamin K. Sovacool,et al.  The importance of comprehensiveness in renewable electricity and energy-efficiency policy , 2009 .

[4]  Thomas Ackermann,et al.  Wind Power in Power Systems , 2005 .

[5]  A. Piccolo,et al.  Evaluating the Impact of Network Investment Deferral on Distributed Generation Expansion , 2009, IEEE Transactions on Power Systems.

[6]  Goran Strbac,et al.  Maximising penetration of wind generation in existing distribution networks , 2002 .

[7]  A. Piccolo,et al.  Exploring the Tradeoffs Between Incentives for Distributed Generation Developers and DNOs , 2007, IEEE Transactions on Power Systems.

[8]  Claudio A. Canizares,et al.  Multiobjective optimal power flows to evaluate voltage security costs in power networks , 2003 .

[9]  Sung-Kwan Joo,et al.  Social Welfare Maximization in Transmission Enhancement Considering Network Congestion , 2008, IEEE Transactions on Power Systems.

[10]  Roberto Caldon,et al.  Reactive power control in distribution networks with dispersed generators: a cost based method , 2003 .

[11]  Michael J. Assante,et al.  No Grid Left Behind , 2010, IEEE Security & Privacy.

[12]  B. Don Russell,et al.  Intelligent Systems for Improved Reliability and Failure Diagnosis in Distribution Systems , 2010, IEEE Transactions on Smart Grid.

[13]  W. Tinney,et al.  Discrete Shunt Controls in Newton Optimal Power Flow , 1992, IEEE Power Engineering Review.

[14]  R. Yokoyama,et al.  Improved genetic algorithms for optimal power flow under both normal and contingent operation states , 1997 .

[15]  W. F. Tinney,et al.  Some deficiencies in optimal power flow , 1988 .

[16]  B. Neenan,et al.  Societal Benefits of Smart Metering Investments , 2008 .

[17]  Mats Larsson,et al.  Active Management of Distributed Energy Resources Using Standardized Communications and Modern Information Technologies , 2009, IEEE Transactions on Industrial Electronics.

[18]  Gerhard P. Hancke,et al.  Opportunities and Challenges of Wireless Sensor Networks in Smart Grid , 2010, IEEE Transactions on Industrial Electronics.

[19]  Pierluigi Siano,et al.  Assessing the strategic benefits of distributed generation ownership for DNOs , 2009 .

[20]  G.P. Harrison,et al.  Centralized and Distributed Voltage Control: Impact on Distributed Generation Penetration , 2007, IEEE Transactions on Power Systems.

[21]  Luonan Chen,et al.  Mean field theory for optimal power flow , 1997 .

[22]  K. Fahd,et al.  Optimal Power Flow Using Tabu Search Algorithm , 2002 .

[23]  Jan T. Bialasiewicz,et al.  Power-Electronic Systems for the Grid Integration of Renewable Energy Sources: A Survey , 2006, IEEE Transactions on Industrial Electronics.

[24]  I. Roytelman,et al.  Coordinated local and centralized control in distribution management systems , 2000 .

[25]  Guy Nicholson,et al.  USER PERCEPTION OF DEMAND SIDE MANAGEMENT , 2008 .

[26]  Humayun Tai,et al.  Behind the buzz [In My View] , 2009 .

[27]  Stavros A. Papathanassiou,et al.  A review of grid code technical requirements for wind farms , 2009 .

[28]  G.B. Sheble smart grid millionaire , 2008, IEEE Power and Energy Magazine.

[29]  Vassilios Petridis,et al.  Optimal power flow by enhanced genetic algorithm , 2002 .

[30]  Pierluigi Siano,et al.  Hybrid GA and OPF evaluation of network capacity for distributed generation connections , 2008 .

[31]  Felix F. Wu,et al.  Large-scale optimal power flow , 1989 .

[32]  Deqiang Gan,et al.  Dispatch optimization incorporating transient and voltage stability constraints , 2000, 2000 Power Engineering Society Summer Meeting (Cat. No.00CH37134).

[33]  Ali Vojdani,et al.  Smart Integration Smart Integration Smart Integration , 2008 .

[34]  Felix F. Wu,et al.  Large-Scale Optimal Power Flow: Effects of Initialization, Decoupling & Discretization , 1989, IEEE Power Engineering Review.

[35]  Ignacio E. Grossmann,et al.  Retrospective on optimization , 2004, Comput. Chem. Eng..

[36]  D. Das A fuzzy multiobjective approach for network reconfiguration of distribution systems , 2006, IEEE Transactions on Power Delivery.

[37]  Louis Wehenkel,et al.  A new heuristic approach to deal with discrete variables in optimal power flow computations , 2009, 2009 IEEE Bucharest PowerTech.

[38]  Fang Liu,et al.  A hybrid genetic algorithm-interior point method for optimal reactive power flow , 2006, IEEE Transactions on Power Systems.

[39]  David Healey,et al.  Coordinated control and management of aggregated Distributed Energy Resources for enhanced business case viability , 2008 .

[40]  Deqiang Gan,et al.  Stability-constrained optimal power flow , 2000 .

[41]  Nikos D. Hatziargyriou,et al.  Integrating distributed generation into electric power systems: A review of drivers, challenges and opportunities , 2007 .

[42]  H. Nilsson The many faces of demand-side management , 1994 .

[43]  P. Siano,et al.  Evaluating maximum wind energy exploitation in active distribution networks , 2010 .

[44]  Poul Ejnar Sørensen,et al.  Centralised power control of wind farm with doubly fed induction generators , 2006 .

[45]  Laleh Behjat,et al.  Interior point models for power system stability problems , 2006, Eur. J. Oper. Res..