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Power demand side resources include interruptible load and transferable load. With the aid of demand side resources, we can reduce peak load of power system and slow down the power grid investment, and promote the efficiency of power system operation. Based on the assessment of the potential value of demand side resources, this paper proposes a regional power system planning optimization model considering demand side response. The regional total costs of investment cost, fuel cost and demand response compensation cost are minimized with power system planning and operation constraints. The benefits of the proposed model are investigated through several case studies.

In this paper, the differential equation of the fuel oil viscosity and temperature control system was derived, according to the working processes and principles of the heating of heavy oil in ocean vessels. By analyzing the characteristics of the heat transfer model, a multi-input coupling nonlinear heat transfer model was developed, in which the temperatures at the inlet and the outlet of the heavy oil heater were used as the state variables, while the openings of the regulating valve of the mixed oil tank and the steam flow rate regulating valve of the heater were used as the control inputs. This model can be decomposed into a single-input nonlinear system and single-input second-order linear system for further investigation, and the sliding mode variable structure controller can then be solved by performing linear reductions on the nonlinear model. Finally, using KING VIKW software, experiments were performed in order to examine the controlling performances of the PID and sliding mode variable structure ( SMVS ) controller respectively. The results show that the sliding mode variable structure controller exhibits a series of superiorities, which mainly include a small overshoot, fast response and strong anti-interference capability.