Scenario Probability Low-Carbon Economic Dispatching Considering Demand Response For Power Grid Integrated With Wind Farms

Clean,pollution-free large-scale wind incorporated in power system has become an irreversible trend in the power industry.But wind power has inherent anti-peaking,randomness and volatility,so that systemic scheduling not only needs to consider the level of acceptance of wind power,but also needs to consider the impact of wind power with uncertainties.With the requirement of low-carbon economic development,dispatching of electric power system has to be concerned about joint optimization of low-carbon dispatching and economic dispatching to realize energy-saving and emission-reduction.The development of smart grid has promotes the depth of interaction with the demand-side of the grid-side,the research of combination with demand-side and grid-side work collectively to accept the wind power,to deal with the uncertainty of wind power and to realize energy-saving and emission-reduction.Price and incentive of demand response can accept jointly wind power and deal with volatility.So,demand-side and grid-side accept jointly wind power under the guidance of price-based demand response in the energy market;demand-side and grid-side deal jointly with the volatility under the incentives of incentive-based demand response in the reserve market.Using scenario probability method describes the uncertainty of wind power,then wind power scenario set are cut to obtain the most likely scenarios and ignore the low probability of extreme scenarios by simultaneous backward reduction method.This paper regarding the minimum expected cost of energy market and reserve market as the goal establishes economic dispatching model considering scenario probability and demand response for power grid integrated with large-scale wind power.The model adapting the all scenarios that may occur ensures the wind power system security and economy under the different scenarios.In the analysis of examples,the comparing results of the optimization model considering or not demand response indicates that the dispatching model not only has more capability of accepting wind power,but also reduces effectively system operating costs;the comparing results of the determinate optimization model and scenario probabilisticoptimization model show scenario probabilistic methods can take into account the different operating condition and its corresponding scheduling,so that the decision results can meet the needs of different wind power scenario.In the process of achieving the coordinate dispatching between economy and carbon in power system,the dispatching needs to consider demand-side to provide zero-carbon generation resources and spinning reserve resources.So,this paper establishes multi-objective optimized low-carbon economic dispatching considering demand response for power grid integrated with large-scale wind power.?-constraint method is used to solve multi-objective scheduling model,then selecting a apposite scheduling can compromise both economic objective and carbon emission objective from Pareto front by fuzzy method;the comparing results of economic objective,low-carbon objective and multi-objective shows that the multi-objective can compromise both system cost and carbon emission.